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Source channel @githubtrending · Post #14693 · May 10
#jupyter_notebook#a2a#agentic_ai#dapr#dapr_pub_sub#dapr_service_invocation#dapr_sidecar#dapr_workflow#docker#kafka#kubernetes#langmem#mcp#openai#openai_agents_sdk#openai_api#postgresql_database#rabbitmq#rancher_desktop#redis#serverless_containers The Dapr Agentic Cloud Ascent (DACA) design pattern helps you build powerful, scalable AI systems that can handle millions of AI agents working together without crashing. It uses Dapr technology with Kubernetes to efficiently manage many AI agents as lightweight virtual actors, ensuring fast response, reliability, and easy scaling. You can start small using free or low-cost cloud tools and grow to planet-scale systems. The OpenAI Agents SDK is recommended for beginners because it is simple, flexible, and gives you good control to develop AI agents quickly. This approach saves costs, avoids vendor lock-in, and supports resilient, event-driven AI workflows, making it ideal for developers aiming to create advanced, cloud-native AI applications[1][2][3][4]. https://github.com/panaversity/learn-agentic-ai
Search: #epimetheus
@googlefactss · Post #40351 · 12/18/2025, 03:02 AM
Epimetheus is a small moon of Saturn, discovered on 18 December 1966 by Richard Walker. It shares almost the same orbit as another moon, Janus, which was confusing for astronomers at first. They thought there was only one moon there until 1978 when it was confirmed there are two. Epimetheus is about 117 km wide and orbits Saturn every 0.69 days. [Read more] @googlefactss #Epimetheus#Saturn#Moons#Space🌕🪐
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